{"id":"1905.10615","title":"Adversarial Policies: Attacking Deep Reinforcement Learning","url":"https://codeofpaper.com/paper/1905.10615","arxiv_url":"https://arxiv.org/abs/1905.10615","published":"2019-05-25","code":"official","best":{"full_name":"HumanCompatibleAI/adversarial-policies","url":"https://github.com/HumanCompatibleAI/adversarial-policies","tier":"official","stars":286,"license":"MIT","framework":null,"language":"Python","last_commit":"2022-04-01T11:43:35"},"most_starred_community":null,"implementations":[{"full_name":"HumanCompatibleAI/adversarial-policies","url":"https://github.com/HumanCompatibleAI/adversarial-policies","tier":"official","stars":286,"license":"MIT","framework":null,"language":"Python","last_commit":"2022-04-01T11:43:35"}],"possible_matches":0}